Triple
T17615391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiaoqin Xian Empress Dowager |
E429069
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Cixi |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cixi | Statement: [Xiaoqin Xian Empress Dowager, alsoKnownAs, Cixi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cixi Context triple: [Xiaoqin Xian Empress Dowager, alsoKnownAs, Cixi]
-
A.
Cixi
Cixi is a county-level city in Zhejiang Province, eastern China, known as an important manufacturing and export hub within the Yangtze River Delta region.
-
B.
Cixi
chosen
Cixi was the powerful late Qing dynasty empress dowager who effectively ruled China from behind the throne for nearly half a century.
-
C.
Chongning
Chongning was a Chinese imperial era name used during the reign of Emperor Huizong of the Song dynasty.
-
D.
Yinzhen
Yinzhen was the personal name of the Yongzheng Emperor, the fifth emperor of China’s Qing dynasty known for his administrative reforms and centralization of power.
-
E.
Xi Anping
Xi Anping is a member of the extended family of Chinese leader Xi Jinping and is known primarily for this familial connection.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3174008190a2b5bb1b061ea4df |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.